Author

Kevin Yu

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#machine learning Preprint Sep 2026

Markovian Dynamics Enforcer: Feasibility Preserving Correction on Learned Dynamics Manifolds

Neural trajectory predictors can reach low prediction error while violating dynamics, actuator limits, or state constraints, especially when controls are unobserved and dynamics are partially specified. We introduce the Markovian Dynamics Enforcer (MaDE), a time-invariant post-hoc operator mapping state-transition prop...

Kevin Yu, Tao Guo, C. Antoniou et al. · 0 citations

Open access Aug 2026

Relation-diffusion augmented network-wide traffic state estimation under sparse sensor deployment

Network-wide traffic state estimation under sparse sensor deployment aims to infer traffic conditions at unobserved road segments from limited sensor observations. Existing diffusion graph convolutional methods mainly propagate node features over physical topology or adaptive graphs, but the adaptive relationships...

Tao Guo, Ningkang Yang, Kevin Yu et al. · Communications in Transporta... · 0 citations